Senior Agentic AI Engineer

Verizon is hiring a Senior Agentic AI Engineer (hybrid) to build autonomous, enterprise-grade AI agents and multi-agent systems with measurable business impact.

Responsibilities

• Architect and deploy scalable multi-agent AI systems, including agent workflows, A2A communication protocols, and cooperative task delegation hierarchies.
• Integrate LLMs with enterprise systems using APIs, function calling, and the Model Context Protocol (MCP) to enable reasoning, planning, tool use, and autonomous action.
• Build and operate enterprise Agent Factory pipelines to evolve from reactive, episodic analytics to autonomous, continuously executing intelligent workflows.
• Design and implement RAG systems using ONNX-based embeddings and vector databases to support context-aware, hyper-personalized outputs at scale.
• Implement agent memory and state architecture, including short-term, medium-term, and long-term memory, using tools such as LangGraph for reliable multi-step execution.
• Own the full agent and model lifecycle, including feature engineering, training, production deployment (Cloud Run, Vertex AI), and continuous monitoring with observability tooling.
• Establish security guardrails, permission boundaries, short-lived agent identity tokens, and safety constraints for production agentic systems.
• Develop and maintain propensity models, classification systems, and forecasting solutions that feed downstream agent decision-making.
• Convert complex agentic AI outputs into operational strategies and present findings to senior leadership and cross-functional business partners.
• Perform advanced AI-augmented analytics and generative AI model validation to support accuracy, reliability, and measurable business performance.

Requirements

• Bachelor’s degree or 4+ years of work experience.
• 4+ years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• 4+ years of relevant work experience, including 2+ years focused on Generative AI, LLMs, and autonomous agent systems.
• 4+ years of experience developing and implementing analytical or AI solutions to complex business problems.
• Hands-on proficiency with multi-agent orchestration frameworks: LangChain, LangGraph, Google Agent Development Kit (ADK), LlamaIndex, or AutoGen.
• Experience designing agent-to-agent (A2A) communication protocols, task delegation hierarchies, and MCP for enterprise tool integration.
• Experience with agent memory and state management, including short-term context, long-term storage, context window optimization, and stateful workflow execution.
• Demonstrated knowledge of RAG, ONNX-based embeddings, and vector databases (Pinecone, Weaviate, pgvector) plus semantic search.
• Demonstrated knowledge of cloud-scale data engineering, including BigQuery pipelines and GCP (Cloud Run, Vertex AI) and/or Amazon Bedrock or an Azure equivalent.
• Experience with Python and SQL for statistical modeling, prompt engineering, token management, and large-scale data extraction.

Technologies

• LangChain, LangGraph, Google Agent Development Kit (ADK), LlamaIndex, AutoGen
• Model Context Protocol (MCP), APIs, function calling
• Cloud Run, Vertex AI
• ONNX, Pinecone, Weaviate, pgvector, retrieval-augmented generation (RAG), vector databases, semantic search
• BigQuery, GCP, Python, SQL
• OpenTelemetry, Arize Phoenix, Galileo

Benefits

• Health and wellness benefit options including medical, dental, and vision
• Short and long term disability
• Basic life insurance
• Supplemental life insurance
• AD&D insurance
• Identity theft protection
• Pet insurance
• Group home & auto insurance
• Matched 401(k) savings plan
• Up to 8 company paid holidays per year
• Up to 6 personal days per year
• Paid parental leave
• Adoption assistance
• Tuition assistance
• Premium pay such as overtime, shift differential, holiday pay, allowances, etc.
• Newly hired employees receive up to 15 days of vacation per year, which grows with additional service

Even Better If You Have

• A Master’s degree in a quantitative discipline such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or Operations Research
• Familiarity with ML/LLM monitoring and observability tooling (OpenTelemetry, Arize Phoenix, Galileo)
• Experience with generative AI-augmented analytics, model validation pipelines, and LLMOps tooling
• Experience with AI governance, security, compliance, and financial ROI modeling for AI agent deployments
• Domain expertise in customer, churn prediction, customer lifetime value (CLV) modeling, or related commercial analytics in Consumer, Telecommunications, Financial Services, or Technology industries
• A passion for educating and communicating AI findings with integrity across levels, including executive stakeholders
• High curiosity, an investigative mindset, and flexibility to adapt while staying focused on deliverables

Work Location & Schedule

• Location: Basking Ridge, NJ (hybrid)
• Hybrid expectations: working from home plus a minimum of three days per week in the office, set by the manager
• Compliance: employees maintain compliance with hybrid work policies
• Weekly scheduled hours: 40

Compensation

• Salary range for the listed location(s) on this requisition: $101,000.00 - $194,000.00 (full-time schedule)
• Incentive based position with the potential to earn more
• Salary varies depending on location and confirmed job-related skills and experience